Username Password Log In Recover password
Click here to see a comparison of all Analysis Programs
Xcalibre represents an improved approach to the challenge of IRT item parameter estimation. A significant amount of attention has been directed at marginal maximum-likelihood estimation methods for obtaining IRT parameter estimates. Accurate estimation of IRT item parameters using maximum-likelihood approaches, including Bayesian techniques, tend to require longer tests and larger sample sizes. A generally accepted guideline for obtaining reasonable item parameter estimates with maximum-likelihood techniques is at least 50 items and 1,000 examinees (for a 3-parameter IRT model). Using marginal maximum-likelihood estimation, Xcalibre can provide accurate item parameter estimates with fewer examinees and shorter tests.
Read the review of Xcalibre which was published in the journal Applied Psychological Measurement, Vol. 20, No. 3, September 1996, pp. 303-307. Reprinted by permission.
Xcalibre can analyze up to 750 items with no limit on the number of examinees.
Xcalibre is also available as part of the Item and Test Analysis Package.